Faster Data Analytics Now Easy With daal4py
Published: 09/07/2017
Last Updated: 09/07/2017
Daal4py combines the ease-of-use you expect in python with the superior performance of Intel® Data Analytics Acceleration Library (DAAL) . With a few lines of code, you can compute common data analytics functions on huge data-sets and utilize all the cores on your desktop and even multiple systems in a cluster.
Daal4py is open source and is currently supported for Python 2.7 and 3.6 on Linux, macOS and Windows (python 3.6 only). It is recommended to use Intel® Distribution for Python* in conjunction with daal4py. Get it now through conda:
conda install -c intel daal4py
Daal4py's documentation can be found on https://intelpython.github.io/daal4py/index.html.
Daal4py's sources and build instructions are available on https://github.com/IntelPython/daal4py.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.